{"id":"W4254902050","doi":"10.1515/iupac.87.0085","title":"Autonomic Nervous System (ANS)","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Animal testing and alternatives","field":"Veterinary","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canada Research Chairs; University of Toronto","funders":"","keywords":"Glossary; Chemical nomenclature; Relation (database); Computer science; Psychology; Neuroscience; Chemistry; Linguistics; Data mining; Philosophy; Organic chemistry","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000781337,0.001120539,0.001047813,0.002449126,0.0004757312,0.001608221,0.001525118,0.001069663,0.05190006],"category_scores_gemma":[0.00727325,0.0003642859,0.001255321,0.003705515,0.000251803,0.001141611,0.001424514,0.001421097,0.04568991],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008201485,"about_ca_system_score_gemma":0.001478301,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01074822,"about_ca_topic_score_gemma":0.02221359,"domain_scores_codex":[0.9990664,0.000136394,0.000264269,0.0002652297,0.0001799215,0.00008770797],"domain_scores_gemma":[0.9968965,0.001040255,0.0005724435,0.0005471918,0.0007743579,0.0001692253],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003732442,0.00003276116,0.01243435,0.004329224,0.0001817254,0.0001136049,0.00006368015,0.0006654293,0.0003075419,0.0009185688,0.9554347,0.02514511],"study_design_scores_gemma":[0.0002321483,0.00006278172,0.04149198,0.002293544,0.0001576288,0.0004017442,0.0001138546,0.0006086838,0.0004136552,0.00230555,0.9518595,0.00005902456],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0004810267,0.0004085675,0.0001735334,0.00007171359,0.00004934894,0.00002962042,0.9969475,0.0001483466,0.001690313],"genre_scores_gemma":[0.001765622,0.0004319478,0.0005511485,0.0001275542,0.00002687844,0.000206935,0.9957005,0.00003475499,0.001154573],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.05190006,"threshold_uncertainty_score":0.173623,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07096346952469627,"score_gpt":0.4625457136172823,"score_spread":0.391582244092586,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}